Triple
T21969285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans von Marées |
E542541
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Anselm Feuerbach |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Anselm Feuerbach | Statement: [Hans von Marées, associatedWith, Anselm Feuerbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anselm Feuerbach Context triple: [Hans von Marées, associatedWith, Anselm Feuerbach]
-
A.
Anselm Feuerbach
chosen
Anselm Feuerbach was a 19th-century German painter known for his classical style and depictions of mythological and historical subjects.
-
B.
Joseph Anselm Feuerbach
Joseph Anselm Feuerbach was a German philologist and archaeologist known for his scholarly work on classical antiquity.
-
C.
Ernst Fegté
Ernst Fegté was a German-born American art director and production designer known for his work on numerous Hollywood films from the 1930s through the 1950s.
-
D.
Moritz Hauptmann
Moritz Hauptmann was a 19th-century German music theorist, composer, and influential educator known for his work in harmony and his role in Leipzig’s musical life.
-
E.
Friedrich Dingeldey
Friedrich Dingeldey was a German mathematician known for his work in geometry and as an academic mentor in the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245d50d08190a4bf93139daa77eb |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:02 p.m.